* value without re-executing the supplier.
     * <p>
     * The caching behavior is determined by the cache retention specified in the request's metadata.
     * If an error occurs during execution, it will be cached and re-thrown for subsequent identical requests.
     *
     * @param <REQ> The request type
     * @param <REP> The response type
     * @param req The request object used as the cache key

set FESS_MIN_MEM=%FESS_HEAP_SIZE%
set FESS_MAX_MEM=%FESS_HEAP_SIZE%
)

REM min and max heap sizes should be set to the same value to avoid
REM stop-the-world GC pauses during resize, and so that we can lock the
REM heap in memory on startup to prevent any of it from being swapped
REM out.
set FESS_JAVA_OPTS=%FESS_JAVA_OPTS% -Xms%FESS_MIN_MEM% -Xmx%FESS_MAX_MEM%

   * response code like 404 or 500.
   *
   * @throws IOException if the request could not be executed due to cancellation, a connectivity
   *     problem or timeout. Because networks can fail during an exchange, it is possible that the
   *     remote server accepted the request before the failure.
   * @throws IllegalStateException when the call has already been executed.
   */
  @Throws(IOException::class)

destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically re-attempted during a periodic disk scanner cycle.

To perform bi-directional replication, repeat the above process on the target site - this time setting the source bucket as the replication target. It is recommended that replication be run in a system with at least two CPU's available to the process, so that replication can run...

 link: https://www.tutlinks.com/deploy-fastapi-on-azure/ title: Deploy FastAPI on Azure App Service - author: Davide Fiocco author_link: https://github.com/davidefiocco link: https://davidefiocco.github.io/streamlit-fastapi-ml-serving/ title: Machine learning model serving in Python using FastAPI and streamlit - author: Netflix author_link: https://netflixtechblog.com/ link: https://netflixtechblog.com/introducing-dispatch-da4b8a2a8072 title: Introducing Dispatch - author: Stavros Korokithakis author_link:...

#     avx_win:                Build with avx instruction set on windows
#
# Other build options:
#     short_logs:       Only log errors during build, skip warnings.
#     verbose_logs:     Show all compiler warnings during build.
#     monolithic:       Build all TF C++ code into a single shared object.
#     dynamic_kernels:  Try to link all kernels dynamically (experimental).

  static class CountingSupplier implements Supplier<Integer> {
    int calls = 0;

    @Override
    public Integer get() {
      calls++;
      return calls * 10;
    }

    @Override
    public String toString() {
      return "CountingSupplier";
    }
  }

  static class ThrowingSupplier implements Supplier<Integer> {
    @Override
    public Integer get() {
      throw new NullPointerException();
    }

   */
  @Override
  public int hashCode() {
    return Objects.hash(xStats, yStats, sumOfProductsOfDeltas);
  }

  @Override
  public String toString() {
    if (count() > 0) {
      return MoreObjects.toStringHelper(this)
          .add("xStats", xStats)
          .add("yStats", yStats)
          .add("populationCovariance", populationCovariance())

            NT_STATUS_IO_REPARSE_TAG_NOT_HANDLED, NT_STATUS_NO_MORE_FILES, };

    /** Array of human-readable messages corresponding to NT_STATUS_CODES */
    String[] NT_STATUS_MESSAGES = { "The operation completed successfully.", "Request is pending",
            "A notify change request is being completed.", "The data was too large to fit into the specified buffer.",

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

* Une autre documentation d'API est fournie par <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank"><strong>ReDoc</strong></a>.